筛选依据
主题必需的
语言必需的
在整个课程(说明和评估)中使用的语言。
了解产品必需的
级别必需的
课程长度必需的
技能必需的
字幕必需的
教师必需的
探索应用机器学习课程目录
- 状态:免费试用状态:人工智能技能
University of Pennsylvania
您将获得的技能: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms
- 状态:免费试用
University of Washington
您将获得的技能: 人工智能, 机器学习算法, 分类与回归树 (CART), 预测建模, 监督学习, 无监督学习, 回归分析, 文本挖掘, 计算机视觉, 统计建模, 功能工程, 深度学习, 预测分析, 应用机器学习, 图像分析, 数据挖掘, 大数据, 统计机器学习, 机器学习, 贝叶斯统计
- 状态:免费试用
您将获得的技能: Feature Engineering, Applied Machine Learning, Advanced Analytics, Machine Learning, Unsupervised Learning, Workflow Management, Data Ethics, Supervised Learning, Data Validation, Classification And Regression Tree (CART), Random Forest Algorithm, Decision Tree Learning, Python Programming, Performance Tuning
- 状态:新状态:免费试用
您将获得的技能: Dimensionality Reduction, PyTorch (Machine Learning Library), Deep Learning, Keras (Neural Network Library), Tensorflow, Artificial Intelligence, Data Manipulation, Data Cleansing, Jupyter, Feature Engineering, Python Programming, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Matplotlib, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Statistical Analysis
- 状态:免费试用
New York University
您将获得的技能: 统计方法, 市场动态, 金融交易, 预测建模, 张力流, 回归分析, 衍生产品, 降维, 人工神经网络, 应用机器学习, 马尔可夫模型, 金融建模, 监督学习, 决策树学习, 金融市场, 风险模型, 无监督学习, 强化学习, 机器学习, Scikit-learn (机器学习库)
- 状态:新状态:免费试用
您将获得的技能: Apache Spark, Keras (Neural Network Library), Deep Learning, Tensorflow, A/B Testing, Big Data, Data Ethics, Applied Machine Learning, Data Processing, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Machine Learning, MLOps (Machine Learning Operations), Artificial Intelligence, Supervised Learning, Statistical Hypothesis Testing, Dimensionality Reduction, Reinforcement Learning
- 状态:新状态:免费试用
您将获得的技能: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Amazon Web Services, Applied Machine Learning, Advanced Analytics, Machine Learning Methods, Cloud Development, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Machine Learning, Statistical Analysis, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Supervised Learning, Dimensionality Reduction, Regression Analysis
- 状态:免费试用
您将获得的技能: Supervised Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Data Analysis, Dimensionality Reduction
- 状态:免费试用
Edureka
您将获得的技能: Power BI, Data Visualization, Data Analysis Expressions (DAX), Matplotlib, Plotly, Data Analysis, Exploratory Data Analysis, Seaborn, SQL, Pandas (Python Package), Probability & Statistics, Regression Analysis, Machine Learning, Statistical Hypothesis Testing, Python Programming, Data Transformation, Feature Engineering, Data Integration, NumPy, Web Scraping
- 状态:免费试用
Johns Hopkins University
您将获得的技能: 分类与回归树 (CART), 预测建模, 机器学习算法, R 语言程序设计(中文版), 数据处理, 回归分析, 随机森林算法, 数据收集, 预测分析, 功能工程, 应用机器学习, 机器学习, 监督学习
- 状态:免费试用
您将获得的技能: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Reinforcement Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Machine Learning, Regression Analysis, Data Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm
DeepLearning.AI
您将获得的技能: 数据管道, 持续监测, 数据驱动的决策制定, MLOps(机器学习 Operator), 软件开发生命周期, 功能工程, 数据验证, 数据质量, 持续部署, 应用机器学习, 应用程序部署, 机器学习
总之,以下是 10 最受欢迎的 applied machine learning 课程
- AI and Machine Learning Essentials with Python: University of Pennsylvania
- 机器学习: University of Washington
- The Nuts and Bolts of Machine Learning: Google
- AI with Python: Apply & Implement ML Models: EDUCBA
- 金融领域的机器学习和强化学习: New York University
- Advanced Machine Learning, Big Data, and Deep Learning: Packt
- Advanced Data Science Techniques (with AWS Integration): Coursera
- Applied Machine Learning with Python: Edureka
- Applied Data Analytics: Edureka
- 实用机器学习: Johns Hopkins University